Dr. J. Arun Nehru

Education

Degree	Specialization	University/Institute Name, Year
Ph.D.	Computer Science and Engineering	Annamalai University, 2017
M.E.	Computer Science and Engineering	Annamalai University, 2010
B.E.	Computer Science and Engineering	Annamalai University, 2008
Diploma	Computer Technology	Muthiah Polytechnic, DOTE, 2004

Research Interests

Computer Vision
Artificial Intelligence
Image and Video Processing
Cloud Computing
Machine Learning
Deep Learning
Explainable AI (XAI)
Cybersecurity & Cryptography

Current Courses Taught / Teaching Interest

Artificial Intelligence (Theory & Lab)
Programming for Problem Solving (Theory & Lab)
Human Computer Interface (Theory)
Cloud Computing
Multimedia Tools and Applications (Theory)
Information System for Engineers (Theory)
Programming Multimedia for the Web (Theory & Lab)
Software Engineering (Theory & Lab)

Academic Experience / Industrial Experience

Assistant Professor (S.G.), Department of Computer Science and Engineering (Emerging Technologies), SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, 2023 – Till date
Assistant Professor (S.G.), Department of Computer Science and Engineering (Emerging Technologies), SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, 2023 – 2025
Assistant Professor (Sr.G.), Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, 2019 – 2023
Assistant Professor (O.G.), Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, 2017 – 2019
Senior Research Fellow, Department of Computer Science and Engineering, Faculty of Engineering and Technology, Annamalai University, Tamil Nadu, 2012–2017
Lecturer, Department of Computer Science and Engineering, IFET College of Engineering, Villupuram, Tamil Nadu, June 2010 – June 2012

Achievements / Awards / Recognitions

Earned the NPTEL Silver Medal in the “Cloud Computing” certification course conducted by NPTEL (IIT Madras), 2026.
Earned the NPTEL Silver Medal in the “Effective Engineering Teaching in Practice” certification course conducted by NPTEL (IIT Madras), 2026.
I received the “AWS Educate Cloud Ambassador” from Amazon Web Services in 2020
I received the “Best Paper Award” in the Research Conference on IoT, Cloud and Data Science, SRM Institute of Science and Technology, Vadapalani, 2019
I received the “Best Paper Award” at the International Conference on Pattern Recognition and Multimedia Signal Processing, Annamalai University, 2015
I received an “Award of Excellence—Best Paper Award” in the Springer International Conference on Artificial Intelligence and Evolutionary in Engineering Systems, Noorul Islam University, Kumaracoil, 2014

Selected Publications/Working Papers

Arunnehru, J, Khan S, H. AB, Albarrak AM and Ali A (2025) An MRI based histogram oriented gradient and deep learning approach for accurate classification of mild cognitive impairment and Alzheimer’s disease. Front. Med. 12:1529761. doi: 10.3389/fmed.2025.1529761, Impact Factor : 3.0
Arunnehru, J., Sambandham, T., and Ravikumar, D. (2025). Recognizing Human Emotions Through Body Posture Dynamics Using Deep Neural Networks. Engineering Proceedings, MDPI, 87(1), 49. https://doi.org/10.3390/engproc2025087049
Deepak, R., Sathyanarayanan, R., Arunnehru, J. (2025). Demand and Sales Forecasting Using Random Forest and Linear Regression. Lecture Notes in Networks and Systems (LNNS), vol 1262. Springer, Singapore. https://doi.org/10.1007/978-981-96-1981-8_42
Arunnehru, J., Vishnu, S., Ganapathyappan, K., Kumar, D. (2025). AI-Enhanced Learning Assistant Platform: An Advanced System for Q&A Generation from Provided Content, Answer Evaluation and Roadmap Generation. Communications in Computer and Information Science, vol 2362. Springer, Cham. https://doi.org/10.1007/978-3-031-82386-2_26.
Arunnehru, J., Jayakrishnaa, P., Vetrivel, P. (2025). Elevator Management System with SRTF Scheduling. Communications in Computer and Information Science, vol 2361. Springer, Cham. https://doi.org/10.1007/978-3-031-82383-1_14.
Arunnehru, J., Babu, V.S.K., Adithya, G., Pragadeesh, K.M.S. (2025). Type Sculpt: Text-to-3D Generation with Personalized Precision Using Adaptive Attention Mechanism. Communications in Computer and Information Science, vol 2362. Springer, Cham. https://doi.org/10.1007/978-3-031-82386-2_13.
Vidhyasagar BS, M Arvindhan, Arunnehru, J., H Anwarbasha, (2024). AAWAS: An Application and Workload-Aware Scheduling Technique for Efficient Task Allocation in Cloud Computing Environments. IEEE Xplore, pp. 1-6, https://doi.org /10.1109/AKGEC62572.2024.10868295
Thalapathiraj, S., Arunnehru, J., Bharathi, V. C., Dhanasekar, R., Vijayaraja, L., Kannadasan, R., ... & Khan, A. A. (2024). A novel approach for encryption and decryption of digital imaging and communications using mathematical modelling in internet of medical things. The Journal of Engineering, 2024(12), e70038. https://doi.org/10.1049/tje2.70038 (SCIE - IF: 1.0; Scopus Indexed)
Vaijayanthi, S., & Arunnehru, J. (2024). Deep neural network-based emotion recognition using facial landmark features and particle swarm optimization. Automatika, 65(3), 1088–1099. http://dx.doi.org/10.1080/00051144.2024.2343964 (SCIE - IF: 1.7; SNIP: 0.874; Scopus Indexed)
Arunnehru, J., Thalapathiraj, S., Dhanasekar, R., Subramanian, P., Vijayaraja, L., & Premkumar, R. (2024). Chord Craft: Exploring musical frontiers with machine learning. In 2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS) (pp. 1–6). IEEE. https://doi.org/10.1109/iccebs58601.2023.10449065 (Scopus Indexed)
Oommen, D. K., & Arunnehru, J. (2023). A deep learning approach with sparse autoencoder for Alzheimer’s disease classification. In International Conference on Intelligent Systems Design and Applications (pp. 164–173). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-64813-7_18 (Scopus Indexed)
Krithick, G., Hemanth, K., Reddy, D. C., & Arunnehru, J. (2023). Exploring the role of blockchain in crowdfunding: Opportunities and challenges in India. In 2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI) (pp. 945–949). IEEE. https://doi.org/10.1109/iccsai59793.2023.10421657 (Scopus Indexed)
Arunnehru, J. (2023). Deep learning-based real-world object detection and improved anomaly detection for surveillance videos. Materials Today: Proceedings, 80, 2911–2916. https://doi.org/10.1016/j.matpr.2021.07.064 (Scopus Indexed)
Oommen, D. K., & Arunnehru, J. (2023). Comprehensive analysis of machine learning algorithms to detect Alzheimer’s disease using predictor factors. Journal of Theoretical and Applied Information Technology, 101(10), 4086–4098. (Scopus Indexed)
Oommen, D. K., & Arunnehru, J. (2023). Detection and classification of Alzheimer’s disease: A deep learning approach with predictor variables. In Diagnosis of Neurological Disorders Based on Deep Learning Techniques (pp. 85–98). Taylor & Francis, CRC Press. (Scopus Indexed)
Bhargavi, G., & Arunnehru, J. (2023). Deep learning framework for landslide severity prediction and susceptibility mapping. Intelligent Automation & Soft Computing, 36(2), 1257–1272. https://doi.org/10.32604/iasc.2023.034335 (SCIE - IF: 3.401; SNIP: 0.946; Scopus Indexed)
Oommen, D. K., & Arunnehru, J. (2023). Alzheimer’s disease stage classification using a deep transfer learning and sparse autoencoder method. Computers, Materials & Continua, 76(1), 793–811. https://doi.org/10.32604/cmc.2023.038640 (SCIE - IF: 3.1; Scopus Indexed)
Basha, H. A., Sangeetha, S. K. B., Sasikumar, S., & Arunnehru, J. (2023). A proficient video recommendation framework using hybrid fuzzy C-means clustering and Kullback-Leibler divergence algorithms. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-14460-8 (SCIE - IF: 2.395; SNIP: 1.05; Scopus Indexed)
Bhargavi, G., & Arunnehru, J. (2022). Landslide susceptibility assessment and primary triggering factor analysis using machine learning techniques in the Western Ghats region of India. Journal of Environmental Protection and Ecology, 24(1), 10–16. (SCIE – IF: 0.507; Scopus Indexed)
Bhargavi, G., & Arunnehru, J. (2022). Identification of landslide vulnerability zones and triggering factors using deep neural networks – An experimental analysis. In Communications in Computer and Information Science (Vol. 1613). Springer, Cham. https://doi.org/10.1007/978-3-031-12638-3_11 (Scopus Indexed)
Arunnehru, J., et al. (2022). Machine vision-based human action recognition using spatio-temporal motion features (STMF) with difference intensity distance group pattern (DIDGP). Journal of Electronics, 11(15), 2363. https://doi.org/10.3390/electronics11152363 (SCIE - IF: 2.690; SNIP: 1.013; Scopus Indexed)
Arunnehru, J., et al. (2022). Target object detection from unmanned aerial vehicle (UAV) images based on improved YOLO algorithm. Journal of Electronics, 11(15), 2343. https://doi.org/10.3390/electronics11152343 (SCIE - IF: 2.690; SNIP: 1.013; Scopus Indexed)
Oommen, D. K., & Arunnehru, J. (2022). A comprehensive study on early detection of Alzheimer’s disease using convolutional neural network. In AIP Conference Proceedings, 2385(1), 050012. https://doi.org/10.1063/5.0071058 (Scopus Indexed)
Oommen, D. K., & Arunnehru, J. (2022). A deep learning approach for automated detection and classification of Alzheimer’s disease. In Communications in Computer and Information Science (Vol. 1614). Springer, Cham. https://doi.org/10.1007/978-3-031-12641-3_12 (Scopus Indexed)
Oommen, D. K., & Arunnehru, J. (2022). Early diagnosis of Alzheimer’s disease from MRI images using scattering wavelet transforms (SWT). In Communications in Computer and Information Science (Vol. 1572). Springer, Cham. https://doi.org/10.1007/978-3-031-05767-0_20 (Scopus Indexed)
Balaji, D. V., & Arunnehru, J. (2022). Predictive analysis on HRM data: Determining employee promotion factors using random forest and XGBoost. In Advances in Intelligent Systems and Computing (Vol. 1396). Springer, Singapore. https://doi.org/10.1007/978-981-16-5652-1_15 (Scopus Indexed)
Vaijayanthi, S., & Arunnehru, J. (2022). Human emotion recognition from body posture with machine learning techniques. In Communications in Computer and Information Science (Vol. 1613). Springer, Cham. https://doi.org/10.1007/978-3-031-12638-3_20 (Scopus Indexed)
Sekar, V., & Arunnehru, J. (2022). Semantic-based visual emotion recognition in videos: A transfer learning approach. International Journal of Electrical & Computer Engineering, 12(4). https://doi.org/10.11591/ijece.v12i4.pp3674-3683 (Scopus Indexed)
Devi, S. P., Manivannan, S., & Arunnehru, J. (2022). ANFIS coupled genetic algorithm modelling for MIMO optimization of flat plate heat sink. In Lecture Notes in Networks and Systems (Vol. 428). Springer, Singapore. https://doi.org/10.1007/978-981-19-2225-1_52 (SNIP: 0.249; Scopus Indexed)
Arunnehru, J., Bhargavi, G., & Vaijayanthi, S. (2021). A survey on recent deep learning architectures. In Artificial Intelligence and IoT: Smart Convergence for Eco-Friendly Topography (Vol. 85). Springer. https://doi.org/10.1007/978-981-33-6400-4_5
Arunnehru, J., & Vaijayanthi, S. (2021). Synthesis approach for emotion recognition from cepstral and pitch coefficients using machine learning. In Lecture Notes in Electrical Engineering (Vol. 733). Springer. https://doi.org/10.1007/978-981-33-4909-4_39 (Scopus Indexed)
Arunnehru, J., Poonkodi, M., & Anand, K. S. (2021). Transfer learning-based image tagging using word embedding technique for image retrieval applications. In Communications in Computer and Information Science (Vol. 1374). Springer. https://doi.org/10.1007/978-981-16-0708-0_14 (Scopus Indexed)
Sathya, R., Elamathi, E., Thamizhdevi, C., Arunnehru, J., & Revathy, G. (2020). Human fingerprint recognition system (HFRS) for real-time application using support vector machine (SVM). International Journal of Advanced Science and Technology, 29(6).
Vijay, J. A., & Basha, H. A., Arunnehru, J., (2020). A dynamic approach for detecting fake news using random forest classifier and NLP. In Advances in Intelligent Systems and Computing (Vol. 1257, pp. 223–230). Springer. https://doi.org/10.1007/978-981-15-7907-3_25 (Scopus Indexed)
Arunnehru, J., & Bhargavi, G. (2020). Land risk susceptibility, hazard, and risk factors in Western Ghats, India – A review. Journal of Critical Reviews, 7(19), 1101. https://doi.org/10.31838/jcr.07.19.1101 (Scopus Indexed)
Balaji, S., Suthantira, S., Amarnath, N., & Arunnehru, J. (2020). Computer-assisted ALL (acute lymphoblastic leukemia), AML (acute myeloid leukemia) detection and counting for diagnosis of blood cancer. International Journal of Scientific Research in Engineering and Management, 4(4).
Bala Sai Mani Kanta, Singh, G., Mitra, R., & Arunnehru, J. (2020). Facial expression recognition using attentional convolutional network. International Research Journal of Engineering and Technology (IRJET), 7(5).
Arunnehru, J., Vidhyasagar, B. S., & Basha, H. A. (2020). Plant leaf diseases recognition using convolutional neural network and transfer learning. In Lecture Notes in Electrical Engineering (LNEE) (pp. 221–229). Springer, Singapore. https://doi.org/10.1007/978-981-15-2612-1_21 (Scopus Indexed)
Basha, H. A., Arunnehru, J., Sathya, R., & Meenakshi. (2020). Multi-keyword ranked-based search for secured cloud data using vector space model. Journal of TEST Engineering & Management, 83, April. (Scopus Indexed)
Samuel, A. A., Dhiwakar, J., Arkesh, J., & Arunnehru, J. (2020). An efficient approach for multi-modal brain tumor classification using texture features and machine learning. International Research Journal of Engineering and Technology (IRJET), 7(3).
Rajkumar, R., & Arunnehru, J. (2019). A study on convolutional neural networks with active video tubelets for object detection and classification. In Soft Computing and Signal Processing (pp. 107–115). Springer, Singapore. https://doi.org/10.1007/978-981-13-3393-4_12 (Scopus Indexed)
Thalapathiraj, S., Baskaran, B., & Arunnehru, J. (2019). Novel approach for texture feature extraction and classification of satellite images using modified Hilbert matrix. AIP Conference Proceedings. https://doi.org/10.1063/1.5112339 (Scopus Indexed)
Ahmad, J., Bhaskar, B., Seetharaman, H., Kumar, A., & Arunnehru, J. (2019). 3DMSNET: 3D CNN-based brain MRI segmentation. International Journal of Recent Technology and Engineering (IJRTE), 8(5S3), July. https://doi.org/10.35940/ijeat.e1027.0785s319
Katyal, J., Mariappan, P., & Arunnehru, J. (2019). Modular face recognition: A customizable system. International Journal of Recent Technology and Engineering (IJRTE), 7(6S3), April. (Scopus Indexed)
Arunnehru, J., Basha, H. A., Kumar, A., Sathya, R., & Geetha, M. K. (2019). A vision-based on-road vehicle light detection system using support vector machines. In Integrated Intelligent Computing, Communication and Security (pp. 117–126). Springer, Singapore. https://doi.org/10.1007/978-981-10-8797-4_13 (Scopus Indexed)
Vidhyasagar, B. S., Perinbam, J. R. P., Krishnamurthy, M., & Arunnehru, J. (2019). A cost-effective data node management scheme for Hadoop clusters in cloud environment. In Communications in Computer and Information Science (CCIS) (pp. 27–37). Springer, Singapore. https://doi.org/10.1007/978-981-15-4301-2_3 (Scopus Indexed)
Arunnehru, J., Kumar, A., & Verma, J. P. (2019). Early prediction of brain tumor classification using convolution neural networks. In Communications in Computer and Information Science (CCIS) (pp. 16–25). Springer, Singapore. https://doi.org/10.1007/978-981-15-3666-3_2 (Scopus Indexed)
Jothimani, A., Prasanth, P., Anil, S., & Arunnehru, J. (2019). Facial expression for emotion detection using deep neural networks. International Journal of Recent Technology and Engineering (IJRTE), 8(1S2).
Arunnehru, J., Nandhana Davi, A. K., Sharan, R. R., & Nambiar, P. G. (2019). Human pose estimation and activity classification using machine learning approach. In Advances in Intelligent Systems and Computing (AISC) (pp. 113–123). Springer, Singapore. https://doi.org/10.1007/978-981-15-2475-2_11 (Scopus Indexed)
Basha, H. A., Sasikumar, S., Dhanasekaran, D., & Arunnehru, J. (2019). A proficient remote information responsibility check protocol in multi-cloud environment. Evolutionary Intelligence, 1–15. Springer. https://doi.org/10.1007/s12065-019-00273-y (ESCI & Scopus Indexed)
Vidhyasagar, B. S., Rajapaulperinbam, J., Krishnamurthy, M., & Arunnehru, J. (2019). An effective resource management in Hadoop cluster using optimized algorithm. International Journal of Recent Technology and Engineering (IJRTE), 8(1).
Sridhar, S. H., & Arunnehru, J. (2018). Traffic engineering: An application of MPLS L3 VPN technology. In 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI). IEEE. https://doi.org/10.1109/icoei.2018.8553765 (Scopus Indexed)
Vidhyasagar, B. S., Ajithkumar, M., Sajid, S., Khadeer, S., Rahul, P., & Arunnehru, J. (2018). Cost-effective PSO model for MapReduce in cloud environment. International Journal of Computer Sciences and Engineering, 6(4), 497–501. https://doi.org/10.26438/ijcse/v6i4.497501
Arunnehru, J., Chamundeeswari, G., & Bharathi, S. P. (2018). Human action recognition using 3D convolutional neural networks with 3D motion cuboids in surveillance videos. Procedia Computer Science, 133, 471–477. Elsevier. https://doi.org/10.1016/j.procs.2018.07.059 (Scopus Indexed)
Arunnehru, J., Sabarinathan, C., Naresh, R. N., Shreeram, M., & Vaidyanathan, R. (2018). Detection of hazardous gas composition in sewer pipeline and identifying safe working condition in sewer pipelines. International Journal of Computer Applications, 180(40), 1–6. https://doi.org/10.5120/ijca2018917064
Kumar, A., Arunnehru, J., & Sinha, S. (2018). Effective testing methodology using bi-directional symbolic analysis. International Journal of Pure and Applied Mathematics, 119(13), 261–269. (Scopus Indexed)
Santhoshkumar, R., Kalaiselvi Geetha, M., & Arunnehru, J. (2017). SVM–KNN-based emotion recognition of humans in video using HOG feature and KLT tracking algorithm. International Journal of Pure and Applied Mathematics, 117(15), 621–634. (Scopus Indexed)
Santhoshkumar, R., Kalaiselvi Geetha, M., & Arunnehru, J. (2017). Activity-based human emotion recognition in video. International Journal of Pure and Applied Mathematics, 117(15), 1185–1194. (Scopus Indexed)
Arunnehru, J., Yashwanth, A., & Shammer, S. (2017). Canonical correlation-based feature fusion approach for scene classification. In Intelligent Systems Design and Applications (pp. 134–143). Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_14 (Scopus Indexed)
Vidhyasagar, B. S., Aravinda Krishnan, S., Manikkannan, D., & Arunnehru, J. (2017). An implementation and performance monitoring of virtual machines using Ganglia in Eucalyptus private cloud. International Journal on Computer Science and Engineering (IJCSE), 9(10), 606–611.
Gowsalya, S., Kalaiselvi Geetha, M., & Arunnehru, J. (2016). CMI-HoG for human emotion recognition in video using tree-based classifiers. International Journal of Control Theory and Applications, 9(3), 1535–1543. (Scopus Indexed)
Arunnehru, J., & Kalaiselvi Geetha, M. (2016). Vision-based human action recognition in surveillance videos using motion projection profile features. In Lecture Notes in Computer Science (LNCS), 9468 (pp. 307–316). Springer. https://doi.org/10.1007/978-3-319-26832-3_43 (Scopus Indexed)
Arunnehru, J., & Kalaiselvi Geetha, M. (2016). Automated complex activity recognition in multiple person interaction. Journal of Imaging and Robotics (JIR), 16(3), 71–85. (SCIE & Scopus Indexed)
Arunnehru, J., & Kalaiselvi Geetha, M. (2016). Difference intensity distance group pattern for recognizing actions in video using SVM. Journal of Pattern Recognition and Image Analysis, 26(4), 688–696. Springer. https://doi.org/10.1134/s1054661816040015 (Scopus Indexed)
Arunnehru, J., Kalaiselvi Geetha, M., & Nanthini, T. (2015). Occlusion detection based on fractal texture analysis in surveillance videos using tree-based classifiers. In Communications in Computer and Information Science (CCIS), 536 (pp. 307–316). Springer. https://doi.org/10.1007/978-3-319-22915-7_29 (Scopus Indexed)
Arunnehru, J., & Kalaiselvi Geetha, M. (2015). Maximum intensity block code for action recognition in video using tree-based classifiers. In Advances in Intelligent Systems and Computing (AISC), 325 (pp. 715–722). Springer. https://doi.org/10.xxxx/yyyy (Scopus Indexed)
Arunnehru, J., & Kalaiselvi Geetha, M. (2015). Human activity recognition based on motion projection profile features in surveillance videos using support vector machines and Gaussian mixture models. In Communications in Computer and Information Science (CCIS), 536 (pp. 412–423). Springer. https://doi.org/10.1007/978-3-319-22915-7_38 (Scopus Indexed)
Nanthini, T., Kalaiselvi Geetha, M., & Arunnehru, J. (2014). Occlusion handling based on fractal texture analysis in surveillance video using neural network classifier. International Journal of Applied Engineering Research (IJAER), 9(20), 4950–4954. (Scopus Indexed)
Kiruthiga, S., Kalaiselvi Geetha, M., & Arunnehru, J. (2014). Efficient codebook for human activity recognition in surveillance video. International Journal for Advance Research in Engineering and Technology (IJARET), 137–141.
Saranya, K., Kalaiselvi Geetha, M., & Arunnehru, J. (2014). Multiple objects tracking for intelligent surveillance. International Journal for Advance Research in Engineering and Technology (IJARET), 74–79.
Saranya, K., Kalaiselvi Geetha, M., & Arunnehru, J. (2014). Motion detection and tracking of multiple objects for intelligent surveillance. IOSR Journal of Computer Engineering (IOSR-JCE), 1, 49–55.
Arunnehru, J., & Kalaiselvi Geetha, M. (2014). Human activity recognition based on projected histogram features in surveillance videos using tree-based classifiers. International Journal of Applied Engineering Research (IJAER), 9(21), 4950–4954. (Scopus Indexed)
Arunnehru, J., & Kalaiselvi Geetha, M. (2014). An efficient multi-view-based activity recognition system for video surveillance using random forest. In Smart Innovation, Systems and Technologies, 32 (pp. 111–122). Springer. https://doi.org/10.1007/978-81-322-2208-8_12 (Scopus Indexed)
Kiruthiga, S., Kalaiselvi Geetha, M., & Arunnehru, J. (2014). Visual words for human activity recognition in surveillance video. IOSR Journal of Computer Engineering (IOSR-JCE), 2, 37–43.
Arunnehru, J., & Kalaiselvi Geetha, M. (2013). A quantitative real-time analysis of object tracking algorithm for surveillance applications. International Journal of Emerging Technology and Advanced Engineering (IJETAE), 3(1), 234–240.
Arunnehru, J., & Kalaiselvi Geetha, M. (2013). Motion intensity code for action recognition in video using PCA and SVM. In Lecture Notes in Computer Science (LNCS), 8284 (pp. 70–81). Springer. https://doi.org/10.1007/978-3-319-03844-5_8 (Scopus Indexed)
Arunnehru, J., & Kalaiselvi Geetha, M. (2013). Automatic activity recognition for video surveillance. International Journal of Computer Applications (IJCA), 75(9), 1–6. https://doi.org/10.5120/13136-0537 (Scopus Indexed)

Book Editor

Artificial Intelligence and IoT: Smart Convergence for Eco-Friendly Topography (Studies in Big Data) 1st Ed. 2021, Kalaiselvi Geetha Manoharan (Editor), Jawaharlal Arunnehru (Editor), Sivaraman Balasubramanian (Editor), ISBN-13 : 978-9813363991, 2021

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